The document discusses mapping cities using user generated content from social media. It analyzes how spatial and temporal patterns can be identified from geotagged tweets and images posted over time. This includes identifying popular landmarks, areas that different groups frequent, and how usage varies at different times of day, allowing the temporary rhythms of the city to be measured. Sentiment analysis of tweets about political events can also reveal geographical patterns in emotional reactions. The data has applications in domains like tourism, urban planning, and analyzing mobility patterns and temporary populations.
among the case studies I'm collecting here http://www.scoop.it/t/urbansensing on visualization of georeferenced data, this is a selection of the project based on the city of New York
Maps of the living neighborhoods - a study of Genoa through social mediaMarna Parodi
A proposal for the application to the city of Genoa of “Livehoods”, a urban computing project started in 2012 by Carnegie Mellon University (http://livehoods.org/).
Livehoods analyses data generated on smartphones by Foursquare a location based social network. Foursquare allow users to check-in in a venue, e.g. a shop, a theatre, a swimming pool. Data are aggregated into clusters that display the activity patterns of people dwelling in a certain area. Livehoods maps capture characteristics of the urban habitat that are well perceived by the people, but usually hardly if at all represented by traditional maps. In Genoa, this research could be have as object of study the area of Fiumara and its surroundings, with an analysis of the relation of the institutional borders of the area, with reference to the original urban requalification plan as well, and the dynamic borders traced by Livehoods.
Using real-time social networks to produce usable knowledgeSalvatore Iaconesi
How can we use social networks to gather real-time knowledge ad information?
How can we use it for urban planning, culture, economy, business and also in emergency situations?
Presented at Information Visualization 2012 in Montpellier, France
more info at:
http://bit.ly/OxPAhH
We are now in the “Century of the City” where urbanization defines our social,economic,and environmental characteristics.
In this era of the Anthropocene, when we are altering the functioning of the global environment, the term “Astycene” accurately describes this “new urban era” where “anthropos” is an “astos,” a dweller of an urban area. The term has been derived from two Greek words:αστυ, i.e., asty= city, town and καιν, i.e., cene= new.
Hence, my topic of presentation is: “Mapping the Astycene”
Accurat's data visualization for La Lettura dissected and explained / lectures for NYU ITP + Parsons Media and Technology Students, February and March 2013
among the case studies I'm collecting here http://www.scoop.it/t/urbansensing on visualization of georeferenced data, this is a selection of the project based on the city of New York
Maps of the living neighborhoods - a study of Genoa through social mediaMarna Parodi
A proposal for the application to the city of Genoa of “Livehoods”, a urban computing project started in 2012 by Carnegie Mellon University (http://livehoods.org/).
Livehoods analyses data generated on smartphones by Foursquare a location based social network. Foursquare allow users to check-in in a venue, e.g. a shop, a theatre, a swimming pool. Data are aggregated into clusters that display the activity patterns of people dwelling in a certain area. Livehoods maps capture characteristics of the urban habitat that are well perceived by the people, but usually hardly if at all represented by traditional maps. In Genoa, this research could be have as object of study the area of Fiumara and its surroundings, with an analysis of the relation of the institutional borders of the area, with reference to the original urban requalification plan as well, and the dynamic borders traced by Livehoods.
Using real-time social networks to produce usable knowledgeSalvatore Iaconesi
How can we use social networks to gather real-time knowledge ad information?
How can we use it for urban planning, culture, economy, business and also in emergency situations?
Presented at Information Visualization 2012 in Montpellier, France
more info at:
http://bit.ly/OxPAhH
We are now in the “Century of the City” where urbanization defines our social,economic,and environmental characteristics.
In this era of the Anthropocene, when we are altering the functioning of the global environment, the term “Astycene” accurately describes this “new urban era” where “anthropos” is an “astos,” a dweller of an urban area. The term has been derived from two Greek words:αστυ, i.e., asty= city, town and καιν, i.e., cene= new.
Hence, my topic of presentation is: “Mapping the Astycene”
Accurat's data visualization for La Lettura dissected and explained / lectures for NYU ITP + Parsons Media and Technology Students, February and March 2013
A series of graphics from integralMENTORS integral UrbanHub work on IMP and Thriveable Cities
These books show the graphics from a dynamic deck that accompany a presentation on Visions & WorldViews and Thriveable Cities. The history of the co-evolution of cities, evolving WorldViews, Visions & Mindsets in Urban Habitats and technology is presented in an integral framework.
Integral theory is simply explained as it relates to these themes see UH 2 & UH 3 for more detail.
These volumes are part of an ongoing series of guides to integrally inform practitioners.
The city is the economic and social life, as in the range of human abode, food and so on. The heights of the
dependence of man, his various powers of the time to have done, and by the desire to consolidate and bring
to the life of the necessary coordination with the villages thereof, and in the nature of necessity and for a
dwelling-place and information to build the human environment. In all, according to the nature of the
species, and the culture and civilization of the difference, and principal users, as one element in the human
city, and that the beneficiaries of the effective element of his own. Unfortunately, irregular to pass out to
the cities, especially the metropolises made us to increase of faces, to provide the service, and to the many
questions of the citizens. Smart of this question in recent decades, a number of strategies for the solution of
the great circles that was offered in the academic plans. That is powerful, smart electronic city and citizens
of continuous service users, but unlike electronic city so residents know each client, users smart and play
the role of the citizens of the city, the head of the fountain. Unlike the electronic city, only to meet the needs
of the citizens of the city had no pain, but in the interaction cycle, is exposed to the knowledge of the heads
of men, and were out of the city, provide services in the city, which is done in the way of life of the urban
development. On the other hand, it should be noted, because of the large and the density of the high places
of the cities of the time, already in the cities which have no matter to work on the administration of the
traditional methods of the town is rather moderate. This study tries to explain the history of the electronic
city, he laid the city: and the sorrow of mourning in the city. In this study, we found an expert to other
learned men proceeded so far, better to use.
The Pilot Atlas presents a number of ways to understand structural issues of homelessness in Canada by using dynamic graphical representations.
Tracey Lauriault
Project Research Leader,
Carleton University
Planning Liveable Cities With Big Social DataMatt Low
Big social data – data collected from online social networks such as Twitter, Facebook, Foursquare and Yelp – can provide new insights into the dynamics of cities. Billions of data points can be harvested to understand how people move around the city and how they experience the urban environment. Deeper, real-time urban insights provide the evidence base for planning more liveable cities – building more responsive transport systems, developing unique neighbourhood identities, and designing more attractive places.
These new data sets are especially useful for addressing gaps within the urban planner’s
toolbox. Firstly, while the pace of change in cities accelerates, conventional data sets (such as Census data or surveys) are updated infrequently. Secondly, there is limited data about the invisible dimensions of cities – sentiment, movement, and social networks.
Understanding and predicting urban dynamics through new forms of geo-social d...Achilleas Psyllidis
The recent emergence of new forms of geo-social data, deriving from social media, sensors, and mobile phones, calls for an update to the methodological toolbox of social sciences. The new methods and tools need to harmonise with the inherent characteristics and challenges of the emerging data sources. This talk demonstrates how SocialGlass, a web-based system for (real-time) urban analytics, helps improve the understanding of human dynamics in modern-day cities, by capitalising on new geo-social data and pioneering data science techniques. Emphasis is on real-world applications, regarding social area analysis, crowd dynamics during large-scale events, and location prediction of new urban functions across different cities.
Presentation at the Centre for BOLD (Big, Open & Linked Data) Cities anniversary meet-up | Erasmus University Rotterdam -- May 29, 2017
Kartograph - Urban Mapping with Mobile Augmented RealityEric Gould
Kartograph - Urban Mapping with Mobile Augmented Reality is a conceptual prototype for a mobile application designed to allow users to explore their urban environment and engage in social interaction.
A series of graphics from integralMENTORS integral UrbanHub work on IMP and Thriveable Cities
These books show the graphics from a dynamic deck that accompany a presentation on Visions & WorldViews and Thriveable Cities. The history of the co-evolution of cities, evolving WorldViews, Visions & Mindsets in Urban Habitats and technology is presented in an integral framework.
Integral theory is simply explained as it relates to these themes see UH 2 & UH 3 for more detail.
These volumes are part of an ongoing series of guides to integrally inform practitioners.
The city is the economic and social life, as in the range of human abode, food and so on. The heights of the
dependence of man, his various powers of the time to have done, and by the desire to consolidate and bring
to the life of the necessary coordination with the villages thereof, and in the nature of necessity and for a
dwelling-place and information to build the human environment. In all, according to the nature of the
species, and the culture and civilization of the difference, and principal users, as one element in the human
city, and that the beneficiaries of the effective element of his own. Unfortunately, irregular to pass out to
the cities, especially the metropolises made us to increase of faces, to provide the service, and to the many
questions of the citizens. Smart of this question in recent decades, a number of strategies for the solution of
the great circles that was offered in the academic plans. That is powerful, smart electronic city and citizens
of continuous service users, but unlike electronic city so residents know each client, users smart and play
the role of the citizens of the city, the head of the fountain. Unlike the electronic city, only to meet the needs
of the citizens of the city had no pain, but in the interaction cycle, is exposed to the knowledge of the heads
of men, and were out of the city, provide services in the city, which is done in the way of life of the urban
development. On the other hand, it should be noted, because of the large and the density of the high places
of the cities of the time, already in the cities which have no matter to work on the administration of the
traditional methods of the town is rather moderate. This study tries to explain the history of the electronic
city, he laid the city: and the sorrow of mourning in the city. In this study, we found an expert to other
learned men proceeded so far, better to use.
The Pilot Atlas presents a number of ways to understand structural issues of homelessness in Canada by using dynamic graphical representations.
Tracey Lauriault
Project Research Leader,
Carleton University
Planning Liveable Cities With Big Social DataMatt Low
Big social data – data collected from online social networks such as Twitter, Facebook, Foursquare and Yelp – can provide new insights into the dynamics of cities. Billions of data points can be harvested to understand how people move around the city and how they experience the urban environment. Deeper, real-time urban insights provide the evidence base for planning more liveable cities – building more responsive transport systems, developing unique neighbourhood identities, and designing more attractive places.
These new data sets are especially useful for addressing gaps within the urban planner’s
toolbox. Firstly, while the pace of change in cities accelerates, conventional data sets (such as Census data or surveys) are updated infrequently. Secondly, there is limited data about the invisible dimensions of cities – sentiment, movement, and social networks.
Understanding and predicting urban dynamics through new forms of geo-social d...Achilleas Psyllidis
The recent emergence of new forms of geo-social data, deriving from social media, sensors, and mobile phones, calls for an update to the methodological toolbox of social sciences. The new methods and tools need to harmonise with the inherent characteristics and challenges of the emerging data sources. This talk demonstrates how SocialGlass, a web-based system for (real-time) urban analytics, helps improve the understanding of human dynamics in modern-day cities, by capitalising on new geo-social data and pioneering data science techniques. Emphasis is on real-world applications, regarding social area analysis, crowd dynamics during large-scale events, and location prediction of new urban functions across different cities.
Presentation at the Centre for BOLD (Big, Open & Linked Data) Cities anniversary meet-up | Erasmus University Rotterdam -- May 29, 2017
Kartograph - Urban Mapping with Mobile Augmented RealityEric Gould
Kartograph - Urban Mapping with Mobile Augmented Reality is a conceptual prototype for a mobile application designed to allow users to explore their urban environment and engage in social interaction.
Non-linear Storytelling: Towards New Methods and Aesthetics for Data NarrativeGiorgia Lupi
presented at Strata Conference, NY, October 29 2013 /
How can a data-driven visualization tell multiple interplaying stories, and achieve a viable result in an abstract visual composition?
I will share the work I am doing with my information design company (accurat.it) on analysing and visualising complex cultural, social and economical phenomena and focusing on a project for La Lettura, the cultural supplement of the Italian newspaper Corriere della Sera (full gallery here http://www.flickr.com/photos/accurat/sets/72157632185046466/)
Purposely, the aim here is to compose and deliver non-linear and multi-layered visual narratives able to maintain the informative richness of the data but still making this richness more accessible and understandable, publishing compound and complex stories told through data visualizations.
I will describe how we can imagine to open new perspectives in the field and how we can also aim at educating readers’ eyes to get familiar with new visual ways to convey the richness of information that we experience in our everyday lives rather than simplifications of the phenomena analysed.
The speech will outline the design process from the very first ideas to the final results in different cases, presenting backstage materials such as sketches and intermediate versions and showing how we select, analyse and combine different data-sets. It will conclude by tracing some red threads to discover possible new approaches to the aesthetics of data-visualization: focusing on how to get inspired from many different disciplines, how to build a personal method and set individual goals, and explaining why we hope our aesthetic and analytic choices can generate new possibilities for ongoing creativity and research in the data-visualisation field
The idea here is to open possible questions rather then providing finite and definitive answers: to ask ourselves how far can we go rather than delimiting the domain.
We live in narrative environments: depicting places perception and identity through user generated content:
in The Future of Security, Parsons’ Insititue for information mapping conference within NYC Data Week (New York, 24 Oct 2012)
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Polyphonic images of the city, mapping human landscapes through user generated content
1. Poliphonic images
of the cities:
Mapping new human landscapes
through User Generated Content
Cumulus Helsinki Conference
24-26 May 2012
OPEN INTERACTIVE CITY
Giorgia Lupi, Luca Simeone, Paolo Patelli, Salvatore Iaconesi
2. Poliphonic images
of the cities:
Mapping new human landscapes
through User Generated Content
User Generated Content
at the Urban Scale
analysing
correlating
crossing
depicting
5. Information
"Contemporary computing systems
can track everything in a city
except its rats."
Richard Prouty
In 1990,
2.4 millioncellular subscriptions,
people
worldwide had
and by the end of 2010,
the number of mobile cellular
subscriptions worldwide reached
approximately
4.6 billion.
7. how?
"you're not dealing with
a 100% of life-logging;
they are stories,
it's not a transcription
of reality, but it's an
interesting mapping of
something half-way
between reality
and people's
aspirations"
Mafe de Baggis
why do people share?
which people are sharing?
15. groups within the
city
differences between how
Italians, english, spanish or
even the emergent spoken
languages use the city in
terms of temporality and
spatial distribution.
16. groups within the
city
differences between how
Italians, english, spanish or
even the emergent spoken
languages use the city in
terms of temporality and
spatial distribution.
17. groups within the
city
differences between how
Italians, english, spanish or
even the emergent spoken
languages use the city in
terms of temporality and
spatial distribution.
18. groups within the
city
differences between how
Italians, english, spanish or
even the emergent spoken
languages use the city in
terms of temporality and
spatial distribution.
19. the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
20. 0.00 . 3,00 am
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
21. 3.00 - 6.00 am
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
22. 6.00 - 9.00 am
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
23. 9.00 - 12.00 am
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
24. 0.00 - 3.00 pm
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
25. 3.00 - 6.00 pm
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
26. 3.00 - 6.00 pm
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
27. 6.00 - 9.00 pm
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
28. 9.00 - 12.00 pm
the temporary city?
difference between the spatial
distribution of people during
the different times of the day,
measuring the rhythm of the
city.
37. identify specific area of interests
Political feeling toward local
Attitudes
acceptance,
policies and urban interventions:
understanding how new urban policies
and infrastructures are evaluated and
being able to plan new public services
for specific groups and places
38. identify specific area of interests
Behavioral Mechanisms
discovering possible emergent
programs, structures and bottom-up
initiatives responding to uncovered
needs and desires as well as predicting
gentrification areas and patterns of use
of the city
39. identify specific area of interests
Places identities and
relationships
delimitation of territories, links
between areas, emergent nets and
relationships and connections between
places, people and uses
40. identify specific area of interests
Perceived well-being/
Livability perceptions related to
alyzing users’
specific geographic areas and providing
attractivity and urban qualitative
indicators to compare diverse zones;
41. identify specific area of interests
Temporary events
understanding how people,
distributions, emotions and uses
changes over the time, relating
contributions to specific events, periods
or situations.
42. how to make
those data worth?
identify specific area of interests
+ domains of applications
43. how to make
those data worth?
identify specific area of interests
+ domains of applications
tourism
temporary inhabitants profile, patterns
of mobility, needs and desires)
44. how to make
those data worth?
identify specific area of interests
+ domains of applications
tourism
temporary inhabitants profile, patterns
of mobility, needs and desires)
planning the cultural offer
of the city named together with
which places are
ontologies related to culture, emergent
local and global net of places related to
cultural activities, cultural influencer
45. how to make
those data worth?
identify specific area of interests
+ domains of applications
temporary
citizens where they are,
who they are,
how they use the city
tourism
temporary inhabitants profile, patterns
of mobility, needs and desires)
planning the cultural offer
of the city named together with
which places are
ontologies related to culture, emergent
local and global net of places related to
cultural activities, cultural influencer
46. mobility
how to make patterns
time based analysis on
those data worth? fluxes and pattern of
mobility of certain groups of
people within metropolitan
identify specific area of interests and urban areas
+ domains of applications
temporary
citizens where they are,
who they are,
how they use the city
tourism
temporary inhabitants profile, patterns
of mobility, needs and desires)
planning the cultural offer
of the city named together with
which places are
ontologies related to culture, emergent
local and global net of places related to
cultural activities, cultural influencer
47. Poliphonic images
of the cities:
Mapping new human landscapes
through User Generated Content
Cumulus Helsinki Conference
24-26 May 2012
OPEN INTERACTIVE CITY
Giorgia Lupi, Luca Simeone, Paolo Patelli, Salvatore Iaconesi
- I'm Giorgia Lupi,\nI'm attending a PhD in Design at Milan Politecnico.\n\nPolyphonic images of the cities is a series of experiments on listening to collective digital traces, \nfocusing on user generated content. \nI'm carrying this research together with Informatics experts, and Urban Planners.\n\nThe paper we submitted at the conference tells about a precise experiment we've done within a more complex research project that I'll introduce.\nRather than presenting here just one experiment in depth,\nwe thought it would have been more useful and interesting to introduce you the different opportunities that we're finding analysing and depicting those information.\n
- Our research is trying to understand how to properly analyse User Generated Content at the Urban scale for providing citizens, planners, decision makers \n- and private stakeholders as well - \nwith important insights about how people live, use and perceive the city.\n\nThe research is prototyping different experiments particularly focused on the city of Milan in Italy where we have the possibility to confront our work with urban experts.\n\n
- At the moment we're gathering geo-referenced data from Twitter\n(we mean all the contributions that is possible to geo-localize) \nwithin 15 km from the center of Milan through the API that Twitter provide, \n\nand we're storing them into a database that we then inquire time by time.\n\nWe're studying how inquire those data; \nhow to interpret them,\nhow to integrate them with other sources of information at hand,\n\nand how to properly use visualization to make knowledge emerge from such information.\n
- Of course, we started this research because today information is at the core of our everyday life.\nTalking of urban environment, I think that this sentence of Richard Prouty \n"contemporary computing systems can track everything in a city, except its rats"\ncan give us back the idea of how many information are everyday around us.\n\n\n
Millions of people now wander the streets of the world’s cities \nsnapping photographs, sending messages, conducting Internet searches \non hand-held devices.\nThese activities can be stamped with precise geo-positioning data, \nthey can be processed, stored, and used,\nbecause they are public.\nThe number of mobile phones subscriptions worldwide has increased dramatically in last years, \nas you can see from the numbers.\nA recent news stated also that Facebook has now more users that share by mobile phones than user sharing by desktops. \nThe number of geo-localizes contributions is increasing in parallel with the smartphones diffusion.\nSo more and more we're sharing while moving, while experiencing the city with its public places - public services, commercial services; actually talking about that on social media.\n\n
- But do these technologies give us a better view of the city than the one we can experience everyday on the public spaces? \nHow is technology helping us to better understand urban phenomena?\n\n\n
- First of all, information has to be understood for the very nature of the data we gather..\nWhy do people share? which people is sharing? Is it really possible to extract urban knowledge out of that?\nA social media expert that I'm constantly interviewing remarked that the terrific things with User generated contents, \nis that:\n"you're not dealing with a 100% of life-logging; \nwhat you find it's not a transcription of reality, \nbut it's an even more interesting mapping of something half-way between reality and people's aspirations"\n\n\n
- Since the very nature of the data / which have a precise localization / \nwe can analyze the city in terms of spatial distributions (clusters and concentration) \nof the people that actually share not only contents but their position. \nproviding alternative images of how the public spaces in Milan are used and lived.\n\n
aggregating data, using images manipulations and video filters \n(as a new methodology for a first discovering of clusters), \nwe could isolate the places from which the most contributions comes from;\n\n
- and this helps us individuating some NEW CITY LANDMARKS \nwhich are a very interesting information.\nWe’re finding that of course the Touristic Attractions of the city are part of them;\nbut we also found a lot of train stations, \nthe University Campus, \na huge concentration of shopping places, \nand also some interesting others, like a very peripheral IKEA store, or a famous Television company place.\n\n\n
- we can also find information about macro-areas,\nand compare residential areas \nwith commercial areas \nwith financial areas,\n\nand finding also the empty places,\nplaces from which people actually don't share, \n(that we found on avergae in Milan are pheripherical areas, \nfinancial districts, \nresidential zones and actually parks!)\n
- then, we can monitor the distribution of people during specific events, and this is very promising. \n- Those data gives us the possibility to depict the city as it EVOLVES through times;\nand so to compare average weeks (weeks where no special events are taking place), \nwith special weeks \nanalyzing how Landmarks, areas and fluxes changes when something happens in the city:\n
Here you can see contributions during the past edition of Design Week,\nwhich is a quite important event in Milan, \nwe can compare the clusters of people the week before and after, \n
and discover if effectively the places where people go \nare the ones that we expected (the actual areas with planned events); and in case compare them;\n\nor if we can also notice emergent areas we didn’t expect.\n(and we found some!)\n\n
- Moreover:\nthe nature of the data allow us to easily discover profiles out of them, \nWe here splitted and plotted contributions according to the different language with which people posted.\n...understanding if there are differences between how Italians, english, spanish or even the less diffused spoken languages use the city.\n\nthis is the design week and we actually found several differences in terms of where and when different groups are actually sharing their position. \n
here you can see italians in blue which we found are really much more “diffused” even in pheripherical and residential areas;\n\n
then english (in green) which seems to be concentrated on particular zones \n(here is the design week again); where effectively we know that events are planned.\n
and spanish people, that are not much effectively but the areas where they post from are designing some interesting clusters around specific places.\n\n(*we’re anonimizing contents and experimenting on how much of these contents come from a singular user or are effectively showing a collective part of the city)s\n\n
Then as I introduced, \nwe can plot on the map contributions shared in different hours of the day, \nmeasuring the rhythm of the city.\nwhere do people are in the morning?\nwhere is the sedimentation of the city at lunch break \nif we aggregate contributions made in different days but at the same time?\n(each query and visualization has to be done with a precise aim in mind)\n
So here and in the following images you can see the aggregation of the same time-period of 3 hours,\nevery day, during several days of the week.\n\nstarting from 0 to 3 a.m, this is the sedimentation of the first hours of the day-city\n
then from 3.00 to 6.00..\n
and you now can see that in the morning, in the upper left corner something is lighting up\n
which is actually the fair, and so the main attractor of this event which was the deisng week\n
which is nice, because the architecture consists of a central corridor with side pavillons\n
and we can really recognize the central corridor even by looking at the tweets!\n
here’s a zoom\n
and then slowly the people move back to the city and gather where the night events are,\nat the end of the afternoon.\n
of course there's some macro phenomena that are basically confirmed:\n*places full of offices that lights up during the day;\n*places where everybody knows that clubs are; pop up at evening;\n*but there's also small emergent zones and areas that reveals themselves at lunch break, \n* or small commercial areas that everyday pulse in peripheral contexts,\nAnd of course these clusters changes during specific events.\nAnd we can imagine to inquire those data comparing weekly days and weekends;\n\n
- Then Even if it's at an early stage regarding italian language, we can consider to analyze also the content of those contributions. \nand to extract not only the main topics from the contributions, \nbut also to provide a sentiment analysis of that, trying to return the feelings that people share through their texts.\n- Sentiment analysis is now used for analyzing social media contributions or digital texts in many fields;\nBut our question was: could we also find any spatial pattern out of them?\nIs there any spatial pattern within the sentiment that people shared regarding to a specific topic / issue or event we may ask for?\n
- And here is Visualizing the Crisis, the experiment we presented in detail in the paper.\nThis is the visualization of emotional citizens' reaction to a specific political events \n(you know the instable political situation in Italy) in Rome.\nIn this image you can see the geographical distribution of feelings related with a wide strike of taxi drivers \nthat caused a lot of traffic deseases in January 23, 2012.\n\nThe drivers protest against a liberalization of the market\nthat the government proposed as one of the key reforms to contain the effects of the economical crisis.\n\n
- We carried some queries on geo-localized twitters within the city of Rome (which has been the most affected one), selecting only the contributions that contained a list of keywords related to the event:\npremier Monti, government, liberalization, taxi , taxi drivers, strike, public services, reform;\n
- Then we provided a sentiment analysis with a conversational analysis engine we're developing, \nthat gives us 2 kind of results on the same dataset:\n\n- a first analysis gave us the general mood (positive negative neutral)\n- and a second experimental analysis gave us more detailed results \n(is the negative anger or fear? sadness or disgust? is the positive acceptance or joy or surprise? )\n\nSince the italian language translator is at the early stage we then checked the results manually.\nAnd we're actually improving the algorithm of the machine.\n\n\n
- Plotting datasets on the map, and comparing results for the whole day\nwe tried to understand if there was any emergent geographical outcome out of them.\n\n- We noticed an average negative reaction, regularly spread across the city, \nthat was slowly fading to more neutral feelings from the center towards the outskirts.\n- Higher concentrations along tourist routes and city landmarks suggested disappointment especially among visitors and taxi users, as if the negative feelings were directed towards the strike itself \nother than the government and the reforms. \n- Furthermore, the research highlighted the usage of specific ironic hashtags (e.g. #menotaxipertutti) wiich could be translated as "lesstaxiforeverybody" related to the negative UGCs and addressing the strike as a source of disaffection.\n
- We then repeated the test making some more experimental visualizations in order to enlighten areas and not just singular clusters of contribution.\n\nAnd so yes, we understood that it's eventualluy possible to detect spatial patterns out of sentiments spreading.\nWe are currently refining the platform in use with linguistical experts \nto be sure we would be able to select the contributions not just manually,\nbut through more complete ontologies built around the topic we want to ask for.\n
- VISUALIZATION AS A MEDIUM FOR EXTRACTING PATTERNS\nOf course choosing a proper visualization method is the only possibility we have to deal with these amount of information; - through the visualization we can extract patterns that we could not do with a huge excel file full of data in front of us.\nBut we have to choose the proper visualization methods\n\nAs an example, here with this video you can see contributions that pops up in real time, through this dynamic image. Which is quite suggestive but it's not always the best way to interact with this information.\nThis method is useful if we want to inquire where people share in a very specific moment.\n\nOtherwise we should think in terms of sedimentation, as you saw in the images before, choosing for different purposes if we want o sediment a whole day of contribution, a whole week, a time period of 3 hours or of 1 hour, and so on;\n\nwe're also actually buiding a platform which can allow user to easily inquire the database and plot results on the map; \nand for doing this we're talking with actual different stakeholders to see their possible needs in terms of knowledge.\n
the nature of the data we have, allow us to identify specific area of interest within the Urban Planning field.\n\nWe're currently analyzing all the clusters I presented:\ntogether with city expert we're understanding what are the most important questions \nthat might be partially answered; and also with matemathics and statistics we’re understanding how to analyze them.\n\n
The first months of research enlightened a few area of particular interest on those data:\n- Political Attitudes: measuring acceptance, feeling toward local policies and urban interventions:\n
- Behavioral Mechanisms: discovering possible emergent programs, structures and bottom-up initiatives responding to uncovered needs and desires as well as predicting gentrification areas and patterns of use of the city;\n
- Places identities and relationships: which places people recognize as center, or as a neighborhood and which ones not? which places are linked together in the mind of users?\n\n
- Perceived well-being/Livability: alyzing users’ perceptions related to specific geographic areas and providing attractivity and urban qualitative indicators to compare diverse zones;\n
- Temporary events: understanding how people, distributions, emotions and uses changes over the time, relating contributions to specific events, periods or situations.\n\n
FURTHERMORE\nTo narrow even more, due to the profile of the people that actually use Social Networks, \n(quite young as an average; active on-line; a good part of users' travels regularly…) \nthe most promising domains of applications could be summed as follows:\n
- tourism (who are the temporary inhabitants? which is their profile? what are they needs and desires? how do they use the city?)\n
- planning the cultural offer of the city (which places are named together with ontologies related to culture, emergent local and global net of places related to cultural activities, cultural influencer);\n
- temporary citizens (are there any emergent ethnic group we can not easily measure with the census? who they are, where they are, how they use the city,)\n
- the understanding of mobility patterns (and as we said, we can produce time based analysis on fluxes and pattern of mobility of certain groups of people within metropolitan and urban areas);\n\n\n\n
- Basically this is our research direction,\nThe work is carried on by us from Density Design Lab (we deal with data visualization of complex phenomena and my PhD Thesis is on analyzing and visualizing digital traces at the urban scale);\nthen Paolo Patelli is from Urban Planning Department of Milan Politecnic as well;\nLuca Simeone is an anthropologist form Malmoo University\nSalvatore Iaconesi is an artist and programmer at La Sapienza Unveristy Rome\n\n
if you’re interested in the background, the methodology or to see more developments you can check us at:\ngiorgialupi.net\n\n\n